AIMC Topic: Support Vector Machine

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Rapid evaluation of Pixian Douban meju in the tank fermentor Based on the image features and multi-model analysis.

Journal of food science Mar 1, 2025
Pixian Douban (PXDB) meju is a crucial intermediate product in the PXDB production. In this study, a machine vision system was employed to monitor and evaluate the meju quality quickly to replace the time-consuming chemical methods. The results of co...
Amino Acids Fermentation Algorithms Support Vector Machine Least-Squares Analysis
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Machine Learning and Natural Language Processing to Improve Classification of Atrial Septal Defects in Electronic Health Records.

Birth defects research Mar 1, 2025
BACKGROUND: International Classification of Disease (ICD) codes can accurately identify patients with certain congenital heart defects (CHDs). In ICD-defined CHD data sets, the code for secundum atrial septal defect (ASD) is the most common, but it h...
Humans Machine Learning Heart Defects, Congenital Natural Language Processing Electronic Health Records Heart Septal Defects, Atrial International Classification of Diseases Support Vector Machine
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Estimating Average Treatment Effects With Support Vector Machines.

Statistics in medicine Feb 28, 2025
Support vector machine (SVM) is one of the most popular classification algorithms in the machine learning literature. We demonstrate that SVM can be used to balance covariates and estimate average causal effects under the unconfoundedness assumption....
Computer Simulation Treatment Outcome Support Vector Machine Models, Statistical Humans Algorithms Sample Size
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[Research on multi-scale convolutional neural network hand muscle strength prediction model improved based on convolutional attention module].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Feb 25, 2025
In order to realize the quantitative assessment of muscle strength in hand function rehabilitation and then formulate scientific and effective rehabilitation training strategies, this paper constructs a multi-scale convolutional neural network (MSCNN...
Humans Neural Networks, Computer Muscle Strength Convolutional Neural Networks Hand Support Vector Machine Hand Strength
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AI-driven health analysis for emerging respiratory diseases: A case study of Yemen patients using COVID-19 data.

Mathematical biosciences and engineering : MBE Feb 24, 2025
In low-income and resource-limited countries, distinguishing COVID-19 from other respiratory diseases is challenging due to similar symptoms and the prevalence of comorbidities. In Yemen, acute comorbidities further complicate the differentiation bet...
Forecasting Pandemics Yemen COVID-19 Humans SARS-CoV-2 Models, Statistical Algorithms Severity of Illness Index Artificial Intelligence Comorbidity Decision Trees Deep Learning Machine Learning Respiratory Tract Diseases Support Vector Machine
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[Construction and preliminary validation of machine learning predictive models for cervical cancer screening based on human DNA methylation].

Zhonghua zhong liu za zhi [Chinese journal of oncology] Feb 23, 2025
Using methylation characteristics of human genes to construct machine learning predictive models for screening cervical cancer and precancerous lesions. Human DNA methylation detection was performed on 224 cervical exfoliated cell specimens from th...
Humans Papillomavirus Infections Adult Machine Learning Support Vector Machine Uterine Cervical Neoplasms Algorithms Uterine Cervical Dysplasia Early Detection of Cancer DNA Methylation Female Middle Aged Bayes Theorem
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[Prediction of depression symptoms in seniors and analysis of influencing factors based on explainable machine learning].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi Feb 10, 2025
This study aims to construct a machine learning model to predict depression symptoms in the elderly and analyze the key influencing factors of depression in the elderly using the shapley additive interpretation (SHAP) method. Based on entries from ...
Depression ROC Curve Logistic Models Support Vector Machine Humans Longitudinal Studies Aged Machine Learning Male Algorithms China Female
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Diagnosis of Alzheimer's disease using FusionNet with improved secretary bird optimization algorithm for optimal MK-SVM based on imaging genetic data.

Cerebral cortex (New York, N.Y. : 1991) Feb 5, 2025
Alzheimer's disease is an irreversible central neurodegenerative disease, and early diagnosis of Alzheimer's disease is beneficial for its prevention and early intervention treatment. In this study, we propose a novel framework, FusionNet-ISBOA-MK-SV...
Brain Male Female Polymorphism, Single Nucleotide Aged Support Vector Machine Magnetic Resonance Imaging Humans Alzheimer Disease Algorithms Neuroimaging
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New Method of Early RRMS Diagnosis Using OCT-Assessed Structural Retinal Data and Explainable Artificial Intelligence.

Translational vision science & technology Feb 3, 2025
PURPOSE: The purpose of this study was to provide the development of a method to classify optical coherence tomography (OCT)-assessed retinal data in the context of automatic diagnosis of early-stage multiple sclerosis (MS) with decision explanation.
Retina Early Diagnosis Nerve Fibers Humans Middle Aged Artificial Intelligence Young Adult Support Vector Machine Female Tomography, Optical Coherence Adult Multiple Sclerosis, Relapsing-Remitting Male
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Predicting the bacterial host range of plasmid genomes using the language model-based one-class support vector machine algorithm.

Microbial genomics Feb 1, 2025
The prediction of the plasmid host range is crucial for investigating the dissemination of plasmids and the transfer of resistance and virulence genes mediated by plasmids. Several machine learning-based tools have been developed to predict plasmid h...
Plasmids Genome, Bacterial Algorithms Machine Learning Host Specificity Bacteria Support Vector Machine
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